arXiv (OAI Expanded)
open access
LogICL: Demonstration Retrieval to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
Effective log anomaly detection is critical to sustaining reliability in large-scale IT infrastructures. Transformer-based language models have advanced the field but require substantial computational resources and labeled data, exacerbating the cold-start problem in target domains with scarce logs.
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